BicDroid builds cryptography-rooted data security for a world where AI accelerates every attack and AI agents have become principals in your systems. Our defense doesn’t race attackers on speed — it makes data valueless in any unauthorized execution context, and gives every application and agent an identity it can prove.
Automated vulnerability discovery, AI-assisted exploitation, and machine-speed kill chains compress the defender’s timeline toward zero.
Agents now hold identity, receive delegated authority, make decisions, access resources, and collaborate with other agents.
BicDroid is organized around exactly these two axes: defend the infrastructure, and govern the agency.
Nearly every mainstream security architecture shares one increasingly fragile assumption: that the defender has enough time to act before damage is done. AI is eroding that assumption — systemically.
Perimeter defenses depend on known attack signatures. AI-generated exploits are novel by definition.
Response tooling must fire before exfiltration completes. AI compresses the window below response times.
Patching relies on a gap between disclosure and exploitation. AI-assisted diffing is erasing that gap.
Analytics depend on historical baselines. AI-crafted patterns are out-of-distribution by design.
These controls remain necessary — but no longer sufficient. Any foundation that depends on winning a race against the attacker will, increasingly often, lose.
Not the network around it. Not the operating system beneath it. Not the applications that touch it. The data itself carries, in cryptography, the rules governing who and what may use it — and those rules survive even when every other layer has been compromised.
This is the property that matters most in the AI era: a defense whose effectiveness does not degrade as attackers grow stronger. Time-based defenses weaken as attackers accelerate. Cryptographic defenses do not.
Each product implements a layer of this sub-network. PACSAC anchors the device. QDocSE protects the data and its execution environment. BIACS governs entry. LineageCrypt gives each application and agent a private key it owns. LightNet carries authenticated, encrypted traffic between them.
A cryptographic chain from the authenticated user, through the mobile OS, into the Trusted Execution Environment, to the encrypted data. Proven at consumer scale.
FS Cryptographic Module + BCEI-CERI + a hardware-rooted QDocSE Server. Source-layer encryption with cryptographically enforced runtime isolation for servers, databases, and critical workloads.
Strong cryptographic authentication the customer fully owns — anchored in customer-owned HSMs, free of any vendor cloud, uniform across every device in the population.
A cryptographic agent for every application and AI agent — signing, mutual authentication, session keys, and encryption performed on its behalf, each operation attributable to that specific principal. The application owns its private identity rather than merely holding a key; no other process, not even root, can exercise it.
A kernel-resident L4.5 layer that decides which applications may communicate — by cryptographic identity, not network address — and transparently encrypts the traffic between them. Built on LineageCrypt, it carves a trusted sub-network within the untrusted Internet and eliminates lateral movement inside it.
Defending infrastructure and governing agency within the AI-Native Security Landscape — one unified mandate: zero dependency on perimeter trust, network layers, or host integrity.
A globally recognized researcher in information theory, data compression, information security, and artificial intelligence, Dr. Yang is a University Professor at the University of Waterloo, where he has taught since 1997, and holds more than 200 patents and patent applications.
He directs the University’s Multicom Research Group, whose current work unites information theory with artificial intelligence — from the information-theoretic foundations of deep learning to AI-inspired extensions of information theory and extended large language models. That research lineage, and the cryptographic research behind it, underpins the BicDroid portfolio. He previously co-founded Slipstream Data Inc., later acquired by BlackBerry.
BicDroid’s cryptographic components have been formally evaluated and certified by national cryptographic authorities. Its HSM-agnostic design supports internationally standardized algorithms and Chinese national standards (SM2, SM3, SM4), so a single deployment model serves customers across regulatory regimes.
BicDroid’s cryptographic methods are protected by granted patents across the United States, Europe, and China — the inventions that make data self-protection provable rather than promised.
View the patent portfolio →We turn frontier cryptography into production systems that protect data at global scale. Kernel engineers, cryptographers, and applied researchers wanted.
See open roles →Talk to our team about deploying cryptographic data self-protection across your devices, servers, identities, applications, and AI agents.